{"id":"W4318710351","doi":"10.2478/jofnem-2022-0058","title":"Genome Characterization and Development of Real-Time PCR Assays for <i>Ditylenchus dipsaci</i> and <i>D. weischeri</i>","year":2022,"lang":"en","type":"article","venue":"Journal of Nematology","topic":"Nematode management and characterization studies","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Biology; Nematode; Genome; Weed; Gene; Genetics; DNA sequencing; Genomics; Botany; Computational biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003315394,0.00008320792,0.000306461,0.00002745641,0.0002370218,0.00001631963,0.00009539219,0.00002741359,0.0001012705],"category_scores_gemma":[0.00001596872,0.00003998435,0.00003426083,0.00009798584,0.00003970832,0.0000944967,0.0001379764,0.00005576109,6.177563e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009086069,"about_ca_system_score_gemma":0.000009585433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.673025e-7,"about_ca_topic_score_gemma":0.000002105361,"domain_scores_codex":[0.9991722,0.00006075094,0.0004176009,0.0001058792,0.0001294644,0.0001140999],"domain_scores_gemma":[0.9992359,0.0001043309,0.0005144317,0.0000209451,0.00008590984,0.0000384434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008004548,0.00005909619,0.005711901,0.0000438013,0.00005147071,0.000003728728,0.0003755318,5.595351e-7,0.9871711,0.0002341373,0.0000744496,0.006194151],"study_design_scores_gemma":[0.001101179,0.0008098854,0.7875766,0.00003155546,0.00009510975,0.0003737136,0.001648277,0.00006310336,0.006704573,0.0002943814,0.2009664,0.0003352092],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983795,0.0001061606,0.0001832699,0.0009581592,0.00007892273,0.0001411746,0.0000248463,0.000007226992,0.0001207892],"genre_scores_gemma":[0.9986359,0.0003245661,0.0005845046,0.0001435181,0.00006569504,0.00001901945,0.00005112629,0.000001428715,0.0001742148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9804665,"threshold_uncertainty_score":0.1823004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02006594724615897,"score_gpt":0.2175957872220068,"score_spread":0.1975298399758479,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}